Design and Implementation of Emergency Lighting System based on UAV Technology
Aiming at the problems of untimely response and limited coverage of traditional emergency lighting systems in complex urban disaster environments, this study introduced an emergency lighting system based on drone technology, aiming to improve the flexibility and response efficiency of emergency lighting. First, a quad-rotor drone with long flight time and stable flight performance was selected as the platform, and it was modified to integrate high-brightness LED (Light-Emitting Diode) lighting equipment to ensure long-term and efficient operation. Then, through sensor integration and automatic obstacle avoidance modules, an intelligent control system was designed to achieve autonomous flight of the drone, lighting brightness control, and automatic obstacle avoidance during flight. Finally, by optimizing the group control algorithm, multiple drones can achieve uniform lighting coverage in large-area scenes, and the system performance is verified through actual scene experiments such as urban fire, earthquake rescue, traffic accidents, and large-scale assembly evacuation. The experimental results show that the drone emergency lighting system performs well in various emergency scenarios. In nighttime fire and earthquake rescue scenarios, the lighting coverage rate reaches 100% within 10 minutes, with short response time and stable brightness; in traffic accident scenarios, the coverage rate reaches 85% within 5 minutes, and the brightness stability remains at 3%. Experiments in various complex scenarios have verified the system’s application potential in emergency management, urban safety, and disaster relief.
Authors
- Z.F. Zhang (ORCID: https://orcid.org/0000-0002-8476-9831)
- Kunfu Wang
- Wen Ding (ORCID: https://orcid.org/0000-0001-5476-5218)
- Jinliang Xu (ORCID: https://orcid.org/0000-0003-0145-9983)
Institutions
- Guangdong Institute of Intelligent Manufacturing (CN)
Publication Details
- Journal
- Procedia Computer Science
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.procs.2025.05.029
- Primary Topic
- Impact of Light on Environment and Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00